Text & Content Analysis
This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Explore by Category
Corpus KPIs
Entity
uconn
Articles
6
From
2026-08-19 10:00:59+00
To
2026-09-13 09:20:34+00
Range
2026-08-19 02:06:46.703453+00 →
2026-09-18 02:06:46.703453+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| uconn | GPE | 6 | 📊 🔍 🧲 |
| bluesky share | PERSON | 4 | 📊 🔍 🧲 |
| connecticut | GPE | 4 | 📊 🔍 🧲 |
| ct | ORG | 4 | 📊 🔍 🧲 |
| facebook share on bluesky opens | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| threads share | PERSON | 4 | 📊 🔍 🧲 |
| trinity audio | ORG | 4 | 📊 🔍 🧲 |
| hartford courant | PERSON | 3 | 📊 🔍 🧲 |
| kevin rennie | PERSON | 2 | 📊 🔍 🧲 |
| ned lamont | PERSON | 2 | 📊 🔍 🧲 |
| new england | LOC | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 275 million | MONEY | 1 | 📊 🔍 🧲 |
| 35m ct | MONEY | 1 | 📊 🔍 🧲 |
| 45 to 50 million | MONEY | 1 | 📊 🔍 🧲 |
| 500 million | MONEY | 1 | 📊 🔍 🧲 |
| a ct | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| aft connecticut | ORG | 1 | 📊 🔍 🧲 |
| aft ct | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| aim | PERSON | 1 | 📊 🔍 🧲 |
| alberta conlin | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| andrea rynn | PERSON | 1 | 📊 🔍 🧲 |
| appalachian trail | LOC | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
4 | 66.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 2.0300 | 📊 🧲 |
| Government | 1.2000 | 📊 🧲 |
| Environment, Climate | 1.1100 | 📊 🧲 |
| Business, Companies | 0.9400 | 📊 🧲 |
| Food and Beverage | 0.2000 | 📊 🧲 |
| Health | 0.2000 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1400 | 📊 🧲 |
| Friends and Family | 0.1000 | 📊 🧲 |
| Other | 0.0400 | — |
Articles included
Top entities
Top sources
Top narrative frames